Business Intelligence Data Engineer

Business Intelligence Data Engineer Attractive Salary & Benefits 36.5 Hour Week (Hybrid) Newtownabbey Permanent or 12-Month Fixed Term Contract (Your Choice) Who are we? Henderson Group?are proud to be one of Northern Irelands leading employers. Our group encompasses Henderson Wholesale, Henderson Retail, Henderson Food service, Henderson Group Property, and Henderson Technology.? Each of our divisions are Investors in People accredited at Gold/ Platinum level, and we employ over 6,000 colleagues across the group.?

? A look into the role? We are recruiting aBusiness Intelligence Data Engineer to join our Information Services team and help shape the future of Data & Analytics across our Group. You'll play a key role in designing and developing scalable data solutions, building robust ETL pipelines, and creating meaningful insights that support business decision-making. Working across multiple business areas, you'll have the opportunity to modernise analytics capabilities and deliver high-impact solutions that create real value.

This role would suit someone with strong analytical skills, a passion for data, and the ability to translate complex information into clear business insights.

Experience with Python (PySpark) and/or Databricks would be particularly advantageous. The Business Intelligence Data Engineer will:
Design, develop and optimise ETL pipelines and data integrations. Build and maintain data models that support reporting and analytics. Create engaging dashboards and data visualisations. Improve database performance, scalability and data quality. Partner with stakeholders to understand reporting and analytics requirements. Implement Efficient ETL Processes That Support Business Needs Develop and maintain ETL processes that bring data from multiple sources into our data platform.

Optimise existing data pipelines for performance and reliability. Design robust data architecture solutions that support evolving business requirements. Promote consistent, high-quality data and a "single version of the truth" across the organisation. Design and Implement Data Models for Business Intelligence Reporting and Analytics Create dimensional data models to support reporting and self-service analytics. Enhance analytics capabilities that enable faster, more informed decision-making.

Ensure data integrity, quality and accuracy across reporting solutions. Support secure access to business-critical data. Create Intuitive and Interactive Data Visualisations Design and develop interactive dashboards and reports that deliver actionable insights. Apply data visualisation best practices to create engaging user experiences. Incorporate drill-downs, filters and interactive features for deeper analysis. Identify opportunities for predictive analytics and scenario modelling. Optimise Database Performance, Query Execution and Data Processing Analyse and improve SQL queries, indexing strategies and database performance.

Support scalable solutions capable of handling increasing data volumes. Monitor, troubleshoot and resolve performance issues. Explore opportunities to automate processes and improve efficiency. Skills for Success ?

To be considered, you'll need:
At least 2 years' experience in a Data Engineering, BI Engineering or similar role. Strong SQL skills and experience working with relational databases. Experience in working with & supporting modern cloud data platforms e.g. Snowflake, Databricks, Fabric

Experience of data warehousing, data modelling and big data concepts.

Experience with BI tools such as Qlik, Tableau or Power BI. You'll also bring:
Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. The ability to manage multiple priorities effectively. A collaborative approach and desire to work as part of a high-performing team. A passion for using data to drive business value and informed decision-making. It would be great if you also have: A degree in Computer Science, Engineering or a related discipline.

Experience with Python, PySpark, Databricks or modern cloud data platforms. Experience building ETL solutions, APIs and data integrations.

Experie…